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IoT, Volume 4, Issue 1 (March 2023) – 3 articles

Cover Story (view full-size image): The Trusted Consortium Blockchain (TCB) Framework provides an optimal solution for big data integrity based on Hyperledger Fabric Modular (HFM). TCB leverages trustworthiness in heterogeneous IIoT networks by governing end-point peers to achieve strong integrity for big data and support high transaction throughput and low latency of HFM contents. This proposed solution drives the fault-tolerant properties and consensus protocols to monitor malicious activities of tunable peers if compromised and validates the signed evidence of big data recorded in real-time HFM operated over different smart manufacturing environments. Experimentally, TCB has been evaluated and has reached tradeoff results of throughput and latency better than the comparative consortium blockchain solutions. View this paper
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1 pages, 209 KiB  
Editorial
Acknowledgment to the Reviewers of IoT in 2022
by IoT Editorial Office
IoT 2023, 4(1), 56; https://doi.org/10.3390/iot4010003 - 25 Feb 2023
Cited by 2 | Viewed by 1444
Abstract
High-quality academic publishing is built on rigorous peer review [...] Full article
29 pages, 3589 KiB  
Article
Securing Big Data Integrity for Industrial IoT in Smart Manufacturing Based on the Trusted Consortium Blockchain (TCB)
by Mazen Juma, Fuad Alattar and Basim Touqan
IoT 2023, 4(1), 27-55; https://doi.org/10.3390/iot4010002 - 06 Feb 2023
Cited by 8 | Viewed by 3384
Abstract
The smart manufacturing ecosystem enhances the end-to-end efficiency of the mine-to-market lifecycle to create the value chain using the big data generated rapidly by edge computing devices, third-party technologies, and various stakeholders connected via the industrial Internet of things. In this context, smart [...] Read more.
The smart manufacturing ecosystem enhances the end-to-end efficiency of the mine-to-market lifecycle to create the value chain using the big data generated rapidly by edge computing devices, third-party technologies, and various stakeholders connected via the industrial Internet of things. In this context, smart manufacturing faces two serious challenges to its industrial IoT big data integrity: real-time transaction monitoring and peer validation due to the volume and velocity dimensions of big data in industrial IoT infrastructures. Modern blockchain technologies as an embedded layer substantially address these challenges to empower the capabilities of the IIoT layer to meet the integrity requirements of the big data layer. This paper presents the trusted consortium blockchain (TCB) framework to provide an optimal solution for big data integrity through a secure and verifiable hyperledger fabric modular (HFM). The TCB leverages trustworthiness in heterogeneous IIoT networks of governing end-point peers to achieve strong integrity for big data and support high transaction throughput and low latency of HFM contents. Our proposed framework drives the fault-tolerant properties and consensus protocols to monitor malicious activities of tunable peers if compromised and validates the signed evidence of big data recorded in real-time HFM operated over different smart manufacturing environments. Experimentally, the TCB has been evaluated and reached tradeoff results of throughput and latency better than the comparative consortium blockchain frameworks. Full article
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26 pages, 7270 KiB  
Article
Ultra-Low-Power Architecture for the Detection and Notification of Wildfires Using the Internet of Things
by Tareq Khan
IoT 2023, 4(1), 1-26; https://doi.org/10.3390/iot4010001 - 25 Jan 2023
Cited by 4 | Viewed by 2988
Abstract
Wildfires kill and injure people, destroy residences, pollute the air, and cause economic loss. In this paper, a low-power Internet of Things (IoT)-based sensor network is developed, which automatically detects fires in forests and sends the location to a central monitoring station with [...] Read more.
Wildfires kill and injure people, destroy residences, pollute the air, and cause economic loss. In this paper, a low-power Internet of Things (IoT)-based sensor network is developed, which automatically detects fires in forests and sends the location to a central monitoring station with smartphone notifications in a real-time setting. This action helps in the early detection of a fire and firefighters can be notified immediately—thus the spread of the fire and the harm caused by it can be reduced. The proposed system detects fires from the presence of smoke and a sudden increase in temperature. The system also logs the temperature, humidity, carbon dioxide, rain, light, and wind speed in different areas of the forest. The sensor nodes transmit the data to a hub using a long-range wireless transmitter and the hub then sends the data to the central monitoring station using the cellular Internet. The sensor nodes and hub are designed with ultra-low-power hardware and software architecture, consuming current of only 0.37 and 1.4 mA, respectively, so that they can be powered by solar panels throughout the year. The central server and smartphone app contain maps, and the wildfire locations are marked in the case of a fire. In the present study, a prototype of the proposed system is successfully developed and tested. Full article
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